code: def test_select_none_competent():
      knora_e_test = KNORAE()
      competences = np.zeros(100)
      selected = knora_e_test.select(competences)
      expected = np.atleast_2d([True] * 100)
  
      assert np.array_equal(expected, selected)
  
file_path: DESlib/deslib/tests/des/test_knorae.py
imports: import numpy
  import pytest
  from sklearn.linear_model import Perceptron
  from sklearn.utils.estimator_checks import check_estimator
  from deslib.des.knora_e import KNORAE
label_desc: Use image node_id 4 for calling a global function with example usage: test_select_none_competent() without return types